From Rating Predictions to Reliable Recommendations in Collaborative Filtering: The Concept of Recommendation Reliability Classes

Recommender systems aspire to provide users with recommendations that have a high probability of being accepted. This is accomplished by producing rating predictions for products that the users have not evaluated, and, afterwards, the products with the highest prediction scores are recommended to th...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2025-04-01
Σειρά:	Big Data and Cognitive Computing
Θέματα:	collaborative filtering recommender systems rating predictions reliable recommendations reliability classes evaluation
Διαθέσιμο Online:	https://www.mdpi.com/2504-2289/9/4/106
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